565 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions in Germany
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nano-computed tomography, and scanning electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across
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instruction is English. All courses, lectures, and workshops are held in English. Participants are required to write and defend their doctoral thesis in English. Programme duration 8 semesters Beginning Winter
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Central Institutions Back Welcome to the Botanical Garden Dr. Eberle Zentrum für digitale Kompetenzen University Sports Center Knowledge Media Research Center (IKM) Isotopenlabor & Strahlenschutz Tübingen
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communication skills in English and motivation for independent scientific work WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year
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as a PhD student in TUM’s graduate programme. Key responsibilities: Co-designing research methodology/approaches to study the political economy of climate mitigation policies in low- and middle-income
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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E13 (collective agreement) Job ticket Possibility of child care (crèche and kindergarten) as well as subsidy for vacation care for school children Active health promotion Company pension plan Access
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to participate in the virtual graduate school programme: https://www.uni-kassel.de/forschung/global-partnership-network/global-partnership-graduate-school University of Kassel University location Activate map
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airport Hannover. The successful candidate will be part of the HZI | HZI Graduate School which provides an innovative structured PhD programme within the field of Infection Research. People with severe
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness